面向状态估计的无线可充电物联网能量优化研究

Due to the unique features of Electro-magnetic energy, wireless Rechargeable Internet of Things is expected to be a highly promising technology which is able to tackle the energy supply limitation, one the most critical hurdles, in the large-scale applications of Internet of Things. However, because of the temporal and spatial dynamics and differences, state estimation in wireless rechargeable internet of things has been one of the most challenging projects in the area of information technology. By considering the dynamics of wireless charging, communication as well as the plant, the project aims to improve the state estimation performance for the dynamic systems with wireless rechargeable internet of things. Based on both the theoretical analysis and experimental verification, the project first investigates the node localization in wireless rechargeable internet of things by moving the energy sources in a participatory manner which also establishes the temporal and spatial dynamic model of wireless charging. With the established models and obtained node location information, the project focuses on the transmission power control and routing energy optimization which largely improve the system state estimation performance. Based on graph theory, optimal estimation, convex optimization, and etc, this project establishes a complete set methods for codesign across the energy, communication and state estimation application layers for state estimation in wireless rechargeable internet of things. The theoretical results will also be evaluated through both simulations and mobile robots tracking testbed with wireless rechargeable internet of things.

以电磁能为载体的无线可充电物联网由于其特有的优势，是克服物联网大规模应用的能量供给瓶颈问题的前沿关键研究领域。而由于无线充电过程的时空动态性和差异性，基于无线可充电物联网的状态估计研究已成为信息技术领域最具挑战性的课题之一。本项目综合考虑无线充电、通信、对象动态特性，面向动态系统状态估计应用性能指标，采用理论分析与实验验证相结合的方法，首先建立无线充电过程时空动态模型，进而研究基于能量源参与式移动的无线可充电物联网节点定位，在此基础上结合节点无线充电动态特性，研究面向估计性能的无线可充电节点传输功率控制、无线可充电物联网路由优化，面向工程应用，基于图论、最优估计、凸优化等理论，建立一套具有完整性的无线可充电物联网能量- - 通信- - 状态估计协同设计方法。同时对理论研究成果进行仿真验证并开发基于无线可充电物联网的移动机器人跟踪系统。

无线可充电物联网是解决物联网大规模应用中能量瓶颈问题的关键研究方向。由于无线充电过程的时空差异性和动态性，基于无线可充电物联网的状态估计研究已成为信息技术领域最具挑战性的课题之一。本项目深入挖掘了无线可充电物联网节点的时空动态特性，建立物联网节点充电/放电/漏电的时域动态模型，研究了基于移动可充电物联网节点的定位与目标跟踪问题，在此基础上结合节点动态特性与通信信道增益，研究了面向远程状态估计性能的在线传输功率调控方法、传输路径时延优化框架，建立了一套具有完整性的无线可充电物联网能量—通信—状态估计协同设计方法。设计搭建了基于无线可充电物联网的定位、传输、感知实验系统，并对理论研究成果进行了仿真实验验证。